Papers by Yuehe Chen

1 papers
Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG (2025.acl-long)

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Challenge: Large language models (LLMs) augmented with retrieval systems have significantly advanced natural language processing tasks by integrating external knowledge sources.
Approach: They propose a method that conditions large language models to generate answers even in the absence of reliable knowledge.
Outcome: The proposed approach balances accuracy with appropriate abstention, enhancing the reliability and trustworthiness of retrieval-augmented systems.

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